In this thought-provoking video, Matthew Berman discusses the recent release of OpenAI’s GPT-4o Mini amidst a global IT outage. He examines the model’s capabilities, particularly its advanced reasoning and performance metrics compared to its competitors, including Google’s Gemini and Anthropic’s Claude 3.5. Berman highlights the significance of GPT-4o Mini’s ability to offer superior intelligence at a lower cost, as well as its impressive performance on the math benchmark. However, he raises concerns about the limitations of current AI models, particularly in reasoning tasks, and emphasizes the need for OpenAI to be transparent about the trade-offs involved. The video also touches on the internal classification system OpenAI uses to assess its models’ progress towards artificial general intelligence (AGI), revealing that GPT-4o Mini is currently classified at level one. Berman concludes by discussing the implications of these advancements for the future of AI and the importance of grounding models in real-world data to improve their reasoning capabilities.